CN113570175A - Method for establishing industrial refined working hour and quantity management platform - Google Patents
Method for establishing industrial refined working hour and quantity management platform Download PDFInfo
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Abstract
The embodiment of the application provides an establishment method and device of an industrial refined working hour and quantity management platform, a computer readable medium and electronic equipment. The method for establishing the industrial fine work time and material quantity management platform comprises the following steps: acquiring the material amount data, determining a target measuring and calculating mode corresponding to the material information from measuring and calculating modes of a preset working hour model, determining predicted working hours corresponding to the material amount data based on the target measuring and calculating mode, comparing actual working hours of actually processed materials with the predicted working hours, determining a loss function corresponding to a working hour model base, updating the working hour model based on the loss function, and constructing a working hour and material amount management platform. According to the technical scheme, the management efficiency and the production efficiency of the working hours and the quantity of the materials are improved, and fine management of enterprise production is achieved.
Description
Technical Field
The application relates to the technical field of computers, in particular to a method and a device for establishing an industrial refined working hour and quantity management platform, a computer readable medium and electronic equipment.
Background
The labor hour consumption is the time consumption of production and each activity, the purpose of researching the labor hour consumption is to eliminate unnecessary time consumption and provide a basis for making advanced and reasonable labor quota. The man-hour data is an important basis for calculation and load calculation in the industrial production building process and is also a basis for industrial production cost budget and control. However, currently, many production enterprises usually conduct rough estimation on the excavation of the working hours according to the number of the built products, the estimation method has large errors, and the unreasonable and unspecific formula estimation method can cause the problems of indefinite construction period and difficulty in controlling the cost.
The working hour quantity is important basic data for supporting enterprises to realize intelligent manufacturing, inaccurate working hour quantity statistics can seriously affect the production technology and planning arrangement of the enterprises, and even cost measurement and calculation can be greatly influenced. Under the condition that the competition of the current production and processing market is unprecedentedly fierce, the man-hour and the quantity of the materials are generally managed in an artificial recording and calculating mode in the prior art, so that certain influence is caused on the production and the asset of an enterprise, the problems of low production efficiency and poor management are easily caused, and certain obstruction is caused to the transformation of the enterprise from the traditional manufacturing to the big data artificial intelligence.
Disclosure of Invention
The embodiment of the application provides a method and a device for establishing an industrial refined working hour amount management platform, a computer readable medium and electronic equipment, so that the management efficiency and the production efficiency of the working hour amount can be improved at least to a certain extent, the refined management of enterprise production is realized, the core competitiveness of an enterprise is improved, and the transformation of the enterprise from traditional manufacturing to service manufacturing is promoted.
Other features and advantages of the present application will be apparent from the following detailed description, or may be learned by practice of the application.
According to an aspect of the embodiment of the application, a method for establishing an industrial refined working hour amount management platform is provided, and the method comprises the following steps: acquiring volume data, wherein the volume data comprises material information and manufacturing information of materials; determining a target measuring and calculating mode corresponding to the material information from measuring and calculating modes of a preset working hour model; determining the predicted working hours corresponding to the volume data based on the target measuring and calculating mode; comparing the actual working hours of actually processing the materials with the predicted working hours, and determining a loss function corresponding to the working hour model library; updating the man-hour model based on the loss function, and constructing a man-hour and quantity management platform based on the man-hour model and the quantity data.
According to an aspect of the embodiments of the present application, there is provided an apparatus for establishing an industrial refined working hour amount management platform, including: the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring volume data, and the volume data comprises material information and manufacturing information of materials; the determining module is used for determining a target measuring and calculating mode corresponding to the material information from measuring and calculating modes of a preset working hour model; the measuring and calculating module is used for determining the prediction working hours corresponding to the volume data based on the target measuring and calculating mode; the loss module is used for comparing the actual working hours of actually processing the materials with the predicted working hours and determining a loss function corresponding to the working hour model base; and the construction module is used for updating the working hour model based on the loss function and constructing a working hour and quantity management platform based on the working hour model and the quantity data.
In some embodiments of the present application, based on the foregoing scheme, the obtaining the volume data includes: detecting volume data triggered by a user in a preset management platform; the volume data comprises material information and manufacturing information; the material information comprises material names, material types, material attributes and material quantities; the manufacturing information includes a manufacturing method and a manufacturing target.
In some embodiments of the present application, based on the foregoing scheme, determining a target measurement and calculation method corresponding to the material information from measurement and calculation methods of a preset man-hour model library includes: acquiring a measuring and calculating mode and measuring and calculating characteristics corresponding to the measuring and calculating mode based on a preset working hour model library; extracting material characteristics in the material information;
and traversing and matching the measuring and calculating characteristics in the man-hour model library based on the material characteristics, and determining a target measuring and calculating mode corresponding to the material information.
In some embodiments of the present application, based on the foregoing scheme, based on the material characteristics, performing traversal matching on the measurement and calculation characteristics in the man-hour model library, and determining a target measurement and calculation manner corresponding to the material information includes: based on the material characteristics and the measurement characteristics, calculating the correlation degree between the material characteristics and the measurement characteristics in the following way:
wherein a and b represent the association degree parameters,x i 、y i respectively representing the material characteristics and the calculation characteristics, i representing the characteristic identification, and k representing the total number of the characteristics. And determining a corresponding target measurement and calculation characteristic when the correlation degree is maximum, and determining a measurement and calculation mode corresponding to the target measurement and calculation characteristic as a target measurement and calculation mode.
In some embodiments of the present application, based on the foregoing scheme, comparing the actual working hours of actually processing the material with the predicted working hours, and determining a loss function corresponding to the working hour model library includes: calculating the cosine distance between the actual working hour of actually processing the material and the predicted working hour; and taking the cosine distance as a loss function corresponding to the man-hour model library.
In some embodiments of the present application, based on the foregoing solution, the updating the labor-hour model based on the loss function to obtain a labor-hour quantity management platform includes: updating a correlation parameter in the man-hour model according to the loss function, wherein the correlation parameter is used for calculating the correlation between a measuring and calculating mode and material information; and obtaining the man-hour and quantity management platform based on the updated association degree parameter.
In some embodiments of the present application, based on the foregoing solution, the method further comprises: acquiring the current material and corresponding task information and working hour information from the working hour and quantity management platform; determining a user account for interfacing with the current material based on the task information; and sending the generated reminding work order to the user account based on the working hour information.
According to an aspect of the embodiments of the present application, there is provided a computer-readable medium on which a computer program is stored, the computer program, when executed by a processor, implementing the method for establishing an industrial fine man-hour volume management platform as described in the above embodiments.
According to an aspect of an embodiment of the present application, there is provided an electronic device including: one or more processors; a storage device for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the method for establishing the industrial fine work amount management platform as described in the above embodiments.
According to an aspect of embodiments herein, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and executes the computer instructions, so that the computer device executes the method for establishing the industrial refined working hour amount management platform provided in the above various optional implementation modes.
In some embodiments of the present application, the method includes obtaining volume data, determining a target measurement and calculation method corresponding to the material information from measurement and calculation methods of a preset work time model, determining predicted work time corresponding to the volume data based on the target measurement and calculation method, comparing actual work time of actually processing the material with the predicted work time, determining a loss function corresponding to a work time model library, updating a work time model based on the loss function, and constructing a work time and volume management platform. By the aid of the mode, management efficiency and production efficiency of the working hours and the quantities are improved, fine management of enterprise production is achieved, core competitiveness of enterprises is improved, and transformation of the enterprises from traditional manufacturing to service manufacturing is promoted.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 shows a schematic diagram of an exemplary system architecture to which aspects of embodiments of the present application may be applied;
fig. 2 schematically shows a flowchart of a method of establishing an industrially refined man-hour amount management platform according to an embodiment of the present application;
FIG. 3 schematically illustrates a block diagram of an industrially refined work-hour volume management platform according to an embodiment of the present application;
fig. 4 is a block diagram showing a setup apparatus of an industrial refined work amount management platform;
FIG. 5 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
Fig. 1 shows a schematic diagram of an exemplary system architecture to which the technical solution of the embodiments of the present application can be applied.
As shown in fig. 1, the system architecture may include a terminal device (e.g., one or more of a smartphone 101, a tablet computer 102, and a portable computer 103 shown in fig. 1, but may also be a desktop computer, etc.), a network 104, and a server 105. The network 104 serves as a medium for providing communication links between terminal devices and the server 105. Network 104 may include various connection types, such as wired communication links, wireless communication links, and so forth.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. For example, server 105 may be a server cluster comprised of multiple servers, or the like.
A user may use a terminal device to interact with the server 105 over the network 104 to receive or send messages or the like. The server 105 may be a server that provides various services. For example, a user uploads volume data including material information and manufacturing information of a material to the server 105 by using the terminal device 103 (or the terminal device 101 or 102), determines a target measurement manner corresponding to the material information from measurement manners of preset labor hour models, determines predicted labor hours corresponding to the volume data based on the target measurement manner, compares actual labor hours for actually processing the material with the predicted labor hours, determines a loss function corresponding to the labor hour model library, updates the labor hour model based on the loss function, and constructs a labor hour volume management platform based on the labor hour model and the volume data.
It should be noted that the method for establishing the industrial refined working hour amount management platform provided in the embodiment of the present application is generally executed by the server 105, and accordingly, the establishing device of the industrial refined working hour amount management platform is generally disposed in the server 105. However, in other embodiments of the present application, the terminal device may also have a similar function as the server, so as to implement the solution of the industrially refined man-hour amount management platform provided in the embodiments of the present application.
In the embodiment, the man-hour model is constructed by the man-hour-based measuring and calculating method, so that the defects of low efficiency, large error and inconsistent estimation result existing in quota measuring and calculating under a manual condition are eliminated, and the accuracy and efficiency of man-hour calculation are improved; and a refined task dispatching system based on product guiding is established, and linkage management between materials and working hour calculation is established, so that design, production and management integration in the true sense is realized.
According to the embodiment, the labor settlement standard is established around the task dispatching monomer system, the settlement process is standardized, the problem that the labor cost and the working hour statistical aperture are inconsistent can be solved, an accurate and scientific working hour quantity management platform can be established, the management efficiency and the production efficiency of the working hour quantity are improved at least to a certain extent, the fine management of enterprise production is realized, the core competitiveness of an enterprise is improved, and the transformation of the enterprise from traditional manufacturing to service manufacturing is promoted.
The implementation details of the technical solution of the embodiment of the present application are set forth in detail below:
fig. 2 shows a flowchart of a method for establishing an industrial refined man-hour amount management platform according to an embodiment of the present application, which may be executed by a server, which may be the server shown in fig. 1, or a computer device, or the like. Referring to fig. 2, the method for establishing the industrial refined work time amount management platform at least includes steps S210 to S250, which are described in detail as follows:
in step S210, volume data is obtained, where the volume data includes material information and manufacturing information of the material.
In an embodiment of the present application, the volume data includes material information and manufacturing information; the material information comprises material names, material types, material attributes and material quantities; manufacturing information includes manufacturing methods, manufacturing targets, etc., and is used herein for illustration.
In this embodiment, a management platform is preset and used for acquiring the volume data based on the management platform. Specifically, the user may input the volume data in the management system, so that the computer device may obtain the volume data.
In step S220, a target measurement method corresponding to the material information is determined from measurement methods of preset labor hour models.
In an embodiment of the present application, a man-hour model is preset. The man-hour model of the embodiment is used for storing various types of man-hour measuring and calculating modes. In this embodiment, after the material information is acquired, a target measurement and calculation mode corresponding to the material information is determined from the man-hour model based on the material information.
Specifically, the measurement and calculation method of the time-of-work model in this embodiment is a measurement and calculation method formed by defining the quota measurement and calculation standards of each specialty, each work type, and each station according to the enterprise quota time-of-work standard system. The target measuring and calculating mode is determined based on the material information, so that the organic combination of design data and production management characteristic data is realized, and the fine management of the volume data is realized.
In an embodiment of the application, the step S220 of determining a target measurement and calculation method corresponding to the material information from measurement and calculation methods of preset work-hour models specifically includes the following steps:
acquiring a measuring and calculating mode and measuring and calculating characteristics corresponding to the measuring and calculating mode based on a preset working hour model library;
extracting material characteristics in the material information;
and traversing and matching the measuring and calculating characteristics in the man-hour model library based on the material characteristics, and determining a target measuring and calculating mode corresponding to the material information.
Specifically, in the embodiment, the measurement and calculation manners are obtained based on the preset man-hour model, and the measurement and calculation characteristics corresponding to the measurement and calculation manners are determined. The measurement and calculation features in this embodiment may be directly extracted from the measurement and calculation manner, and the measurement and calculation features in this embodiment include data amount of parameter measurement and calculation, a specific measurement and calculation manner, and a measurement and calculation result obtained by measurement and calculation.
The material characteristics in this embodiment may be extracted by text recognition, and the material characteristics may include at least one of the following characteristic material numbers, quantities, uses, attributes, and the like.
In an embodiment of the application, traversal matching is performed on the measurement and calculation features in the working hour model library based on the material features, and it is determined that a target measurement and calculation mode corresponding to the material information is based on the material features and the measurement and calculation features, and the association degree between the material features and the measurement and calculation features is calculated in the following mode:
wherein,a、ba parameter representing the degree of association is indicated,x i 、y i respectively showing the material characteristics and the measuring and calculating characteristics,ithe identity of the feature is represented,krepresenting the total number of features.
After the relevance is calculated, determining a target measurement and calculation characteristic corresponding to the maximum relevance, and determining a measurement and calculation mode corresponding to the target measurement and calculation characteristic as a target measurement and calculation mode.
In step S230, the predicted working hours corresponding to the volume data are determined based on the target measuring and calculating method.
In an embodiment of the present application, the measurement and calculation method in the present embodiment is set according to historical amount processing time, and after the target measurement and calculation method is acquired, the predicted man-hours corresponding to the amount data are calculated based on the target measurement and calculation method. The processing time corresponding to the current amount information can be determined through the prediction mode, and the production and processing plan can be generated conveniently.
In step S240, the actual man-hours actually used for processing the material are compared with the predicted man-hours, and a loss function corresponding to the man-hour model library is determined.
After the predicted man-hour is calculated and the amount information of the finished product is processed, the corresponding actual man-hour is recorded, so that the actual man-hour and the predicted man-hour are compared to determine the loss function corresponding to the man-hour model base.
In an embodiment of the present application, the step S240 of comparing the actual working hours of actually processing the material with the predicted working hours to determine a loss function corresponding to the working hour model library specifically includes: calculating the cosine distance between the actual working hour of actually processing the material and the predicted working hour; and taking the cosine distance as a loss function corresponding to the man-hour model library. The difference between the predicted man-hour obtained before and the actual man-hour can be determined by calculating the loss function, so that the calculation mode of the predicted man-hour is adjusted based on the time difference of the predicted man-hour and the actual man-hour, and a more accurate calculation method is obtained.
Optionally, the loss function in this embodiment may further include an accuracy rate, and for example, the accuracy rate may be calculated in the following manner in this embodiment:
wherein TP represents the number of the predicted working hours just as the actual working hours; FP indicates the number of estimated man-hours measured which is not actual man-hours. In the implementation, the prediction capability and the judgment accuracy of the model can be measured through the accuracy rate.
In step S250, the man-hour model is updated based on the loss function, and a man-hour and quantity management platform is constructed based on the man-hour model and the quantity data.
In an embodiment of the present application, after determining the loss function, the working hour model is updated based on the loss function, and specifically, the measurement and calculation method in the working hour model is updated, so that the measurement and calculation manner is more accurate and efficient.
And after the man-hour model is updated, constructing a man-hour and quantity management platform based on the updated man-hour model and the material data. Specifically, as shown in fig. 3, a material data management module in the man-hour volume management platform 300 is constructed by data types in material data, a man-hour management module in the man-hour volume management platform is constructed by a man-hour model, and a corresponding task assigning module, a task early warning module, a task result display module, and the like are added.
The working hour amount management platform of the embodiment can also be used for acquiring the current material and the corresponding task information and working hour information thereof, determining a user account for butting the current material based on the task information, and sending the generated reminding work order to the user account based on the working hour information.
Specifically, the man-hour and quantity management platform in this embodiment is used for managing man-hour and quantity, for example, providing information of man-hour quota and design quantity for a management system, issuing a work order according to a team, and executing the task work order and performing real-time feedback of real man-hour and production progress according to the task requirement of the issued fine work order. The enterprise carries out finer-grained decomposition on the existing worksheets to form an enterprise task worksheet standard, customizes standardized fine worksheets according to different time intervals, regions, work types, operation modes and operation stages, and predicts corresponding working hour information of the fine worksheets by means of a quota worksheet association rule.
In addition, in the embodiment, a fixed period can be set to perform refined dispatching, production actual performance feedback is performed on the implementation object, the construction progress and the processing quality are confirmed, and a scientific and refined industrial production management mode is realized.
The following describes an embodiment of an apparatus of the present application, which can be used to implement the method for establishing an industrial refined working hour amount management platform in the above embodiment of the present application. It will be appreciated that the apparatus may be a computer program (comprising program code) running on a computer device, for example an application software; the apparatus may be used to perform the corresponding steps in the methods provided by the embodiments of the present application. For details not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the method for establishing the industrial fine work time management platform of the present application.
Fig. 4 shows a block diagram of a setup apparatus of an industrial refined work-hour amount management platform according to an embodiment of the present application.
Referring to fig. 4, an apparatus 400 for establishing an industrial refined working hour amount management platform according to an embodiment of the present application includes:
an obtaining module 410, configured to obtain volume data, where the volume data includes material information and manufacturing information of a material;
the determining module 420 is configured to determine a target measuring and calculating manner corresponding to the material information from measuring and calculating manners of preset working hour models;
the measuring and calculating module 430 is used for determining the predicted working hours corresponding to the volume data based on the target measuring and calculating mode;
a loss module 440, configured to compare actual working hours for actually processing the material with the predicted working hours, and determine a loss function corresponding to the working hour model library;
a construction module 450, configured to update the labor-hour model based on the loss function, and construct a labor-hour and volume management platform based on the labor-hour model and the volume data.
In some embodiments of the present application, based on the foregoing scheme, the obtaining the volume data includes: detecting volume data triggered by a user in a preset management platform; the volume data comprises material information and manufacturing information; the material information comprises material names, material types, material attributes and material quantities; the manufacturing information includes a manufacturing method and a manufacturing target.
In some embodiments of the present application, based on the foregoing scheme, determining a target measurement and calculation method corresponding to the material information from measurement and calculation methods of a preset man-hour model library includes: acquiring a measuring and calculating mode and measuring and calculating characteristics corresponding to the measuring and calculating mode based on a preset working hour model library; extracting material characteristics in the material information; and traversing and matching the measuring and calculating characteristics in the man-hour model library based on the material characteristics, and determining a target measuring and calculating mode corresponding to the material information.
In some embodiments of the present application, based on the foregoing scheme, based on the material characteristics, performing traversal matching on the measurement and calculation characteristics in the man-hour model library, and determining a target measurement and calculation manner corresponding to the material information includes: based on the material characteristics and the measurement characteristics, calculating the correlation degree between the material characteristics and the measurement characteristics in the following way:
wherein,a、ba parameter representing the degree of association is indicated,x i 、y i respectively showing the material characteristics and the measuring and calculating characteristics,ithe identity of the feature is represented,krepresenting the total number of features. After traversing each measuring and calculating mode and calculating to obtain the relevance, determining the maximum relevance, determining the target measuring and calculating characteristic corresponding to the maximum relevance, and determining the measuring and calculating mode corresponding to the target measuring and calculating characteristic as the target measuring and calculating mode.
In the embodiment, by the above manner, the target measurement and calculation manner which is most matched with the current amount information can be obtained, and further, the measurement and calculation efficiency and the measurement and calculation precision of the amount can be improved.
In some embodiments of the present application, based on the foregoing scheme, comparing the actual working hours of actually processing the material with the predicted working hours, and determining a loss function corresponding to the working hour model library includes: calculating the cosine distance between the actual working hour of actually processing the material and the predicted working hour; and taking the cosine distance as a loss function corresponding to the man-hour model library.
In some embodiments of the present application, based on the foregoing solution, the updating the labor-hour model based on the loss function to obtain a labor-hour quantity management platform includes: updating a correlation parameter in the man-hour model according to the loss function, wherein the correlation parameter is used for calculating the correlation between a measuring and calculating mode and material information; and obtaining the man-hour and quantity management platform based on the updated association degree parameter.
After the working hour quantity management platform is obtained, acquiring the current material and corresponding task information and working hour information from the working hour quantity management platform; determining a user account for docking the current material based on the task information; and sending the generated reminding work order to the user account based on the working hour information.
In addition to this, when new amount information is input, it is also possible to determine the labor hour information, task execution information, and the like corresponding to the amount information, to determine the corresponding at least one human executor based on the task execution information, and to determine a target human executor whose working time is appropriate from among the human executors based on the labor hour information. And then generating a work order based on the amount information and the working hour information, and sending the work order to an account of the target executor for reminding and processing.
By the method, the processing efficiency of the volume information can be improved, the degree of association between the executor and the executed product is enhanced, and the efficiency and the scientificity of task allocation are improved.
FIG. 5 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
It should be noted that the computer system 500 of the electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU) 501, which can perform various appropriate actions and processes, such as executing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for system operation are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An Input/Output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 405: an input portion 506 including a keyboard, a mouse, and the like; an output section 507 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage portion 508 including a hard disk and the like; and a communication section 509 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program executes various functions defined in the system of the present application when executed by a Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with a computer program embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
According to an aspect of the application, a computer program product or computer program is provided, comprising computer instructions, the computer instructions being stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the method provided in the various alternative implementations described above.
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method described in the above embodiments.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A method for establishing an industrial refined working hour and quantity management platform is characterized by comprising the following steps:
acquiring volume data, wherein the volume data comprises material information and manufacturing information of materials;
determining a target measuring and calculating mode corresponding to the material information from measuring and calculating modes of a preset working hour model;
determining the predicted working hours corresponding to the volume data based on the target measuring and calculating mode;
comparing the actual working hours of actually processing the materials with the predicted working hours, and determining a loss function corresponding to a working hour model library;
updating the man-hour model based on the loss function, and constructing a man-hour and quantity management platform based on the man-hour model and the quantity data.
2. The method of claim 1, wherein obtaining the volume data comprises:
detecting volume data triggered by a user in a preset management platform;
the volume data comprises material information and manufacturing information;
the material information comprises material names, material types, material attributes and material quantities;
the manufacturing information includes a manufacturing method and a manufacturing target.
3. The method of claim 1, wherein determining a target estimation corresponding to the material information from estimation of the preset man-hour model library comprises:
acquiring a measuring and calculating mode and measuring and calculating characteristics corresponding to the measuring and calculating mode based on a preset working hour model library;
extracting material characteristics in the material information;
and traversing and matching the measuring and calculating characteristics in the man-hour model library based on the material characteristics, and determining a target measuring and calculating mode corresponding to the material information.
4. The method according to claim 3, wherein traversing and matching measurement and calculation features in the man-hour model library based on the material features to determine a target measurement and calculation mode corresponding to the material information comprises:
based on the material characteristics and the measurement characteristics, calculating the correlation degree between the material characteristics and the measurement characteristics in the following way:
wherein,a、ba parameter representing the degree of association is indicated,x i 、y i respectively showing the material characteristics and the measuring and calculating characteristics,i the identity of the feature is represented,krepresents the total number of features;
and determining a corresponding target measurement and calculation characteristic when the correlation degree is maximum, and determining a measurement and calculation mode corresponding to the target measurement and calculation characteristic as a target measurement and calculation mode.
5. The method of claim 4, wherein comparing the actual man-hours actually processed the material with the predicted man-hours and determining a loss function corresponding to the man-hour model library comprises:
calculating the cosine distance between the actual working hour of actually processing the material and the predicted working hour;
and taking the cosine distance as a loss function corresponding to the man-hour model library.
6. The method of claim 1, wherein updating the man-hour model based on the loss function results in a man-hour quantity management platform comprising:
updating a correlation parameter in the man-hour model according to the loss function, wherein the correlation parameter is used for calculating the correlation between a measuring and calculating mode and material information;
and obtaining the man-hour and quantity management platform based on the updated association degree parameter.
7. The method of claim 1, further comprising:
acquiring the current material and corresponding task information and working hour information from the working hour and quantity management platform;
determining a user account for interfacing with the current material based on the task information;
and sending the generated reminding work order to the user account based on the working hour information.
8. An apparatus for establishing an industrial fine work time and quantity management platform, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring volume data, and the volume data comprises material information and manufacturing information of materials;
the determining module is used for determining a target measuring and calculating mode corresponding to the material information from measuring and calculating modes of a preset working hour model;
the measuring and calculating module is used for determining the prediction working hours corresponding to the volume data based on the target measuring and calculating mode;
the loss module is used for comparing the actual working hours of actually processing the materials with the predicted working hours and determining a loss function corresponding to the working hour model library;
and the construction module is used for updating the working hour model based on the loss function and constructing a working hour and quantity management platform based on the working hour model and the quantity data.
9. A computer-readable medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for establishing an industrial refined man-hour amount management platform according to any one of claims 1 to 7.
10. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method for building an industrial fine work amount management platform according to any one of claims 1 to 7.
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